WEBVTT - The Hater's Guide To The AI Bubble, Pt. 3

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<v Speaker 1>Zone Media, stop your grinnin and drop your linen. I'm

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<v Speaker 1>d zechron and this is better offline. Welcome to the

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<v Speaker 1>final part of our three part Hater's Guide to the

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<v Speaker 1>AI Bubble, where we've been talking about the growing cracks

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<v Speaker 1>emerging in the industry and the potential contagion to the

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<v Speaker 1>wider economy that are pullback in general of AI spending

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<v Speaker 1>will cause. And I must be clear, things are bad

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<v Speaker 1>the vibes A rand said. I spent the past two episodes,

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<v Speaker 1>and we'll spend much of this episode explaining why. But

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<v Speaker 1>I just want to recap something from the first part

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<v Speaker 1>of this series. Right now, seven companies, the Magnificent Seven,

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<v Speaker 1>account for the value of nearly thirty five percent of

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<v Speaker 1>all of US stocks, and the biggest of these companies

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<v Speaker 1>is in Nvidia, which has gotten fat off the back

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<v Speaker 1>of the AI bubble today a disproportionate amount of Nvidia's

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<v Speaker 1>revenue eighty eight percent of it is coming from the

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<v Speaker 1>other members of the Magnificent Seven. And there of the

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<v Speaker 1>enterprise GPUs designed to power the compute heavy eight A

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<v Speaker 1>applications that you're hearing about all day. If and when

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<v Speaker 1>they pull back, invidiabile sink so too will the other companies,

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<v Speaker 1>especially when it becomes evident that they've spent nearly half

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<v Speaker 1>a trillion dollars in two years on bugger roll. It'll

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<v Speaker 1>be an apocalyptic shedding of value. They won't die, but

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<v Speaker 1>it'll be the likes of which we haven't seen since

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<v Speaker 1>the dark days of two thousand and seven and two

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<v Speaker 1>thousand and eight for those companies. I don't know about

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<v Speaker 1>the global banking system imploding, but I also can't say

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<v Speaker 1>what I just I don't know. But what I do

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<v Speaker 1>know is tech is going to take such a precipitous

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<v Speaker 1>haircut that you're going to see scissor gashes in the

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<v Speaker 1>man's bald head. Terrible metaphor. If that sounds like a

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<v Speaker 1>them problem, though, and not a you problem, ask yourself,

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<v Speaker 1>what's in your fuah one K? Do you own any

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<v Speaker 1>index funds or ETFs? Are you close to retirement? And

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<v Speaker 1>how much do you enjoy eating ramen? Are you willing

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<v Speaker 1>to eat the same whiskers cat food as your American

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<v Speaker 1>short hair? I am, except I feed them a different,

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<v Speaker 1>better food because Babu deserves the best. But in the

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<v Speaker 1>last two episodes, I made the case that the generative

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<v Speaker 1>AI industry is unique in its capital demands and unparalleled

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<v Speaker 1>in the fact that no company beside in video or

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<v Speaker 1>consultancies are making any money from them. I can easily

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<v Speaker 1>imagine the chain of events where one big company fails,

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<v Speaker 1>like either because they ran out of money or because

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<v Speaker 1>the investors pulled back. This in turn spooks the rest

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<v Speaker 1>of the market, causing other companies to start seeing massive

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<v Speaker 1>revenue drops. And as the demand for compute drops, hyper

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<v Speaker 1>scalers like Microsoft, Amazon and Google massively cut their capital expenditures,

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<v Speaker 1>canceling data center build outs and of course slowing down

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<v Speaker 1>their GPU orders. And then Jensen Huang would have to

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<v Speaker 1>watch as the cash cow that made his company rich

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<v Speaker 1>and fat is take over a walk behind the barn

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<v Speaker 1>for two shots to ring out. Though I must be clear,

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<v Speaker 1>video isn't gonna die, None of the Magnificent seven will. However,

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<v Speaker 1>the first big failure, the first domino to fall, could

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<v Speaker 1>be any number of companies, and while I don't think

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<v Speaker 1>open Ai and Anthropic are necessarily going to be the first,

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<v Speaker 1>I also believe that there's an air of inevitability about

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<v Speaker 1>one of or both of their demises. This matter is

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<v Speaker 1>because these companies are for all intents and purposes the

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<v Speaker 1>generative AI industry. They're deeply unsustainable and unstable, and yet

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<v Speaker 1>they are also critical to the AI trade. Continuing, I

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<v Speaker 1>haven't really spent much time on my favorite subject, that

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<v Speaker 1>open ai is a systemic risk to the tech industry.

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<v Speaker 1>But let's recap my reporting. Open Ai and Anthropic both

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<v Speaker 1>lose billions of dollars a year after revenue, and their

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<v Speaker 1>stories do not mirror any other startup in history, not Uber,

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<v Speaker 1>not Amazon Web Services, and nothing. I've addressed my Uber

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<v Speaker 1>point before in how does open ai survive? It'll be

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<v Speaker 1>in this show notes. Someone always asks me about this.

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<v Speaker 1>Please stop, learn to read, learn to listen. Soft Bank

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<v Speaker 1>also is putting itself in dire straits simply to fund

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<v Speaker 1>open Ai. The steel threatens its credit ring, with SoftBank

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<v Speaker 1>having to take on what will be multiple loans to

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<v Speaker 1>fund the remaining thirty billion dollars open ai is forty

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<v Speaker 1>billion dollar funding round which is yet to close, and

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<v Speaker 1>open aiy is in fact still raising from the Middle East.

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<v Speaker 1>This is before you consider the other nineteen billion dollars

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<v Speaker 1>that soft Bank has agreed to contribute to the Stargate

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<v Speaker 1>Data Center project, money that it does not have available

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<v Speaker 1>at this time. But I must say, while recording this episode,

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<v Speaker 1>I saw some news come out and I'm just going

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<v Speaker 1>to read it to you and said soft Bank and

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<v Speaker 1>open Ai is five hundred billion AI project struggles to

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<v Speaker 1>get off ground. The Stargate venture introduced a white house event,

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<v Speaker 1>is now setting the more modest goal of building a

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<v Speaker 1>small data center by year. And I just want to say,

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<v Speaker 1>anyone that doubted me can suck one. I was oinking

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<v Speaker 1>and squawking around my room just before this when I

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<v Speaker 1>got this news in. I just want to say, I

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<v Speaker 1>just learned this news and I'm still taking it in.

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<v Speaker 1>I'm still taking in because it makes me so excited

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<v Speaker 1>and sad. Anyway, neither soft Bank nor open Ai has

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<v Speaker 1>the money for Stargate, regardless of what they built. Also,

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<v Speaker 1>Clammy Samy's making some interesting claims about what Stargate is.

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<v Speaker 1>He's claimed the Denton site, the core Weavers building is

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<v Speaker 1>also Stargate. This motherfucker loves lying anyway. Open A must

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<v Speaker 1>also convert to a for profit by the end of

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<v Speaker 1>twenty twenty five, all whose twenty billion dollars of the

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<v Speaker 1>remaining thirty billion dollars of funding. If it does not

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<v Speaker 1>convert by October twenty twenty six, it's current funding converts

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<v Speaker 1>to debt. It is also demanding remarkable and reasonable concessions

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<v Speaker 1>and Microsoft stuff like they want to reduce their rev share,

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<v Speaker 1>They want to reduce their their I think, their ability

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<v Speaker 1>to their exclusive rights to sell models. I did I

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<v Speaker 1>really need to do a monologue about this, and I

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<v Speaker 1>know this is technically a monologue, but nevertheless, they want

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<v Speaker 1>these insane things, and Microsoft is refusing to budge, and

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<v Speaker 1>it's willing to walk away from negotiations necessary to convert.

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<v Speaker 1>According to the Financial Times, and also open Ai does

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<v Speaker 1>not have a path of profitability, and its future, like Anthropics,

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<v Speaker 1>is dependent on the continual flow of capital from venture

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<v Speaker 1>capitalists and big tech, who must also continue to expand infrastructure.

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<v Speaker 1>I don't know how that's going to fucking happen with

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<v Speaker 1>Stargate going. God, I feel so good about that. Oh

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<v Speaker 1>I want to like bottle that up and drink it. Anyway.

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<v Speaker 1>Anthropic is in a similar but slightly better position. It's

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<v Speaker 1>set to lose three billion dollars this year on four

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<v Speaker 1>billion dollars of revenue. It also has no path of

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<v Speaker 1>profitability and recently jacked up prices on cursor, it's larger

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<v Speaker 1>customer has had to put restraints on clawed code after

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<v Speaker 1>allowing users to burn one hundred to ten thousand percent

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<v Speaker 1>of their revenue a month. These are the actions of

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<v Speaker 1>a desperate company. Nevertheless, Open Ai and Anthropics revenue amount to,

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<v Speaker 1>by my estimates, more than half of the entire revenue

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<v Speaker 1>of the generative AI industry, including the hyperscalers. And to

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<v Speaker 1>be abundantly clear, the two companies that amount to a

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<v Speaker 1>round half of all generative AI revenue are only losing money. Now.

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<v Speaker 1>I said a lot of this before, which is why

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<v Speaker 1>I'm trying not to harp on it too much. But

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<v Speaker 1>the most important company in the entire AI industry needs

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<v Speaker 1>to convert to a for profit entity from a nonprofit entity,

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<v Speaker 1>which has never happened before in this case, by the

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<v Speaker 1>end of the year or it's effectively dead. And even

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<v Speaker 1>if it does, Open AI burns billions and billions and

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<v Speaker 1>billions of dollars a year and will die without continual funding.

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<v Speaker 1>They have no path to profitability in anyone telling you

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<v Speaker 1>otherwise as a liar or a fantasist. And on top

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<v Speaker 1>of this is part of the thing about SoftBank, by

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<v Speaker 1>the Way and Stargate. They revealed that they've promised Oracle

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<v Speaker 1>thirty billion dollars a year their cloud contract. I swear

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<v Speaker 1>to fucking God does no one read these stories and

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<v Speaker 1>think does this not sound just like an egregious lie? Anyway,

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<v Speaker 1>as I wrote earlier in the year, there is really

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<v Speaker 1>no significant adoption of generative AI services or products. Chat

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<v Speaker 1>GPTs five hundred million weekly users, and otherwise it seems

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<v Speaker 1>that other services they struggled to get fifteen million users.

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<v Speaker 1>Although you could mention Google that's not a fair comparisons.

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<v Speaker 1>It cheated by combining Google Gemini with Google Assystem to

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<v Speaker 1>claim it had three hundred and fifty million active users

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<v Speaker 1>a while the five hundred million weekly users sounds and

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<v Speaker 1>is in fairness impressive. There's a world of difference between

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<v Speaker 1>someone using your product as part of their job, which

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<v Speaker 1>they pay for, and someone dicking around with an image

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<v Speaker 1>generator or a college student trying to cheat on their homework.

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<v Speaker 1>On top of that, now I'm recording this July twenty first,

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<v Speaker 1>there's an ICO story that came out today with some

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<v Speaker 1>bullshit vanity metrics, rope and AI. But that story said

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<v Speaker 1>the Open AI themselves had said that they have five

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<v Speaker 1>hundred million weekly active users. Now here's the crazy thing.

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<v Speaker 1>That five hundred million number. That from March. That's and

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<v Speaker 1>March now, but I came from an open AI funding announcement.

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<v Speaker 1>Have they platowed stick around? I'm going to find out.

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<v Speaker 1>But this is all worrying on so many levels, chief

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<v Speaker 1>of which is that everybody has been talking about AI

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<v Speaker 1>for three goddamn years, and everybody has said AI and

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<v Speaker 1>every earnings and media appearance, exhausting fucking blog posts, and

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<v Speaker 1>we still can't scrape together the bits to make functional industry.

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<v Speaker 2>Now.

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<v Speaker 1>I know some of you will probably read this in

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<v Speaker 1>point to chat gipt's users, and I quote myself writing

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<v Speaker 1>in my newsletter make fun of them, which also read

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<v Speaker 1>for this podcast. Chat gpt is allegedly five hundred million

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<v Speaker 1>weekly hatieth users and by the last count, only fifteen

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<v Speaker 1>point five million paying subscribers, an absolutely futrid conversion rate,

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<v Speaker 1>even before you realize that the actual conversion rate would

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<v Speaker 1>be monthly active subscribers, which is how any real software

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<v Speaker 1>company actually defines its metrics. By the fucking way, Why

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<v Speaker 1>is this impressive? Because it grew so fast it literally

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<v Speaker 1>had more pr and more marketing and more attention and

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<v Speaker 1>more opportunities to sell to more people than any company

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<v Speaker 1>has ever had in the history of anything. Every single

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<v Speaker 1>industry has been told to think about AI for three years,

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<v Speaker 1>and they've been told to do so because of a

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<v Speaker 1>company called open Ai. There isn't a single goddamn product

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<v Speaker 1>since Google or Facebook bes's had this level of media pressure,

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<v Speaker 1>and both of these companies launched without the massive amount

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<v Speaker 1>of media and social media that we have today. CHADGBT

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<v Speaker 1>is a very successful growth product and an absolutely horrifying business.

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<v Speaker 1>They're a banana republic that cannot function on their own.

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<v Speaker 1>They do not resemble Uber, Amazon, Web Services or any

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<v Speaker 1>other business in the past other than we work the

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<v Speaker 1>other company that SoftBank spent way too much money on,

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<v Speaker 1>and outside of chad GBT, there really isn't anything else.

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<v Speaker 1>But before I wrap up this three parter and I'm tired,

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<v Speaker 1>and I imagine you are too, I do want to

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<v Speaker 1>address something. I want to address the kind of both

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<v Speaker 1>sides thing that everyone's doing, and I think we all

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<v Speaker 1>need to do way less of this because at this

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<v Speaker 1>point it's kind of silly. Yes, Generati, if AI has functionality,

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<v Speaker 1>there are coding products and search products that people like

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<v Speaker 1>and some even pay for them. As I have discussed

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<v Speaker 1>across this series and I said discuss there, but I'm

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<v Speaker 1>keeping going and across countless podcasts and newslayers. None of

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<v Speaker 1>these companies are profitable until one of them is profitable,

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<v Speaker 1>really profitable sustainably, so generative AI based companies are not

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<v Speaker 1>real businesses in any case. The problem isn't so much

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<v Speaker 1>that l elms don't do anything, but that people talk

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<v Speaker 1>about them doing things they can't. The use of the

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<v Speaker 1>word agent is a deliberate attempt to suggest that l

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<v Speaker 1>elms are autonomous, and any and all stories about AI

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<v Speaker 1>replacing jobs are intentionally manipulative attempts to boost stock valuations

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<v Speaker 1>and suggests that models are capable of replacing human workers

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<v Speaker 1>at scale, which they are not. Allison Morrow of CNN,

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<v Speaker 1>who's been on the show a few times, also has

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<v Speaker 1>an excellent piece on this, which I've linked to in

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<v Speaker 1>the show notes. As I discussed in my newsletter Sincerity

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<v Speaker 1>Wins the War, which I've also linked to, this is

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<v Speaker 1>one of the most egregious failures of the tech media

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<v Speaker 1>I've ever seen, willingly pushing warrio Amma days outright making

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<v Speaker 1>up of stuff. No one asked him if that if

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<v Speaker 1>the stat he said ten to twenty percent white collar unemployment,

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<v Speaker 1>if I started lying, I just really want to be

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<v Speaker 1>clear about something. If I went on this podcast and

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<v Speaker 1>I just fucking made up stats, if I was just like, yes,

0:10:59.320 --> 0:11:03.480
<v Speaker 1>seventy five percent of all generative ais CEOs, literally they

0:11:03.960 --> 0:11:06.920
<v Speaker 1>love kicking puppies, they love drop kicking puppies, you'd get

0:11:06.920 --> 0:11:09.360
<v Speaker 1>mad at me. Right. What's the difference between that and

0:11:09.520 --> 0:11:12.920
<v Speaker 1>Wario Ama Day saying twenty percent white collar and unemployment.

0:11:12.960 --> 0:11:15.480
<v Speaker 1>There is none. They're both lies. And I don't know

0:11:15.520 --> 0:11:17.319
<v Speaker 1>why I'm doing the dog kicking one, but it's just

0:11:17.360 --> 0:11:20.160
<v Speaker 1>an example. We move on. And as a side note,

0:11:20.200 --> 0:11:24.480
<v Speaker 1>the discussion also of the term AGI artificial general intelligence,

0:11:24.520 --> 0:11:27.440
<v Speaker 1>and every acceptance of it is an attempt to suggest

0:11:27.480 --> 0:11:30.480
<v Speaker 1>that large language models can create conscious intelligence, a fictional

0:11:30.480 --> 0:11:33.560
<v Speaker 1>concept that even Meta's chief AI scientist says won't come

0:11:33.760 --> 0:11:37.960
<v Speaker 1>from scaling up llms. Members of the media, listen to me,

0:11:38.760 --> 0:11:41.160
<v Speaker 1>every time you talk about the really smart engineers that

0:11:41.280 --> 0:11:44.920
<v Speaker 1>say Meta is paying one hundred million dollars two know

0:11:45.040 --> 0:11:47.640
<v Speaker 1>that you are doing free marketing for these companies when

0:11:47.640 --> 0:11:49.840
<v Speaker 1>what's really happening is people are giving tens of millions

0:11:49.880 --> 0:11:51.400
<v Speaker 1>of dollars, the guys who will work on teams that

0:11:51.440 --> 0:11:54.440
<v Speaker 1>are pursuing a totally unproven concept. It is like saying

0:11:54.440 --> 0:11:56.679
<v Speaker 1>that they are all going to see if they could.

0:11:57.040 --> 0:11:59.000
<v Speaker 1>I don't know. I was about to say the wrong

0:11:59.120 --> 0:12:02.160
<v Speaker 1>create the wrong trend from Rollss and Grummet, Rollis and

0:12:02.400 --> 0:12:06.120
<v Speaker 1>Wallace and Grummet. But you know those are one hundred

0:12:06.120 --> 0:12:08.679
<v Speaker 1>percent possible. I'm sure someone could build them. How about this,

0:12:08.760 --> 0:12:10.320
<v Speaker 1>They all believe they're going to hunt and kill the

0:12:10.360 --> 0:12:13.440
<v Speaker 1>tooth Fairy because the tooth Fairy is about as realistic

0:12:13.480 --> 0:12:16.920
<v Speaker 1>as agi, and if you disagree with me, emummy, I

0:12:17.000 --> 0:12:19.199
<v Speaker 1>might even read him. I should also add that the

0:12:19.280 --> 0:12:22.360
<v Speaker 1>use of the word singularity is similarly manipulative. These are

0:12:22.920 --> 0:12:26.000
<v Speaker 1>terms that are used to obfuscate the actual abilities of

0:12:26.080 --> 0:12:29.880
<v Speaker 1>large language models and indeed what can be built on them.

0:12:30.160 --> 0:12:35.880
<v Speaker 1>It's really frustrating because these should be really obvious tricks,

0:12:36.920 --> 0:12:40.079
<v Speaker 1>but the media keeps accepting them. And I don't want

0:12:40.120 --> 0:12:42.880
<v Speaker 1>to accuse anyone of being anything. I just want to

0:12:42.880 --> 0:12:44.800
<v Speaker 1>say I find it fucking disgusting. And when this all

0:12:44.840 --> 0:12:47.920
<v Speaker 1>falls apart, there will be a referendum on this. I

0:12:48.000 --> 0:12:51.240
<v Speaker 1>will not be kind or merciful to the people that

0:12:51.360 --> 0:12:54.640
<v Speaker 1>have continually pushed these narratives. I also want to add

0:12:54.679 --> 0:12:58.199
<v Speaker 1>there's another really annoying narrative that we need to get

0:12:58.320 --> 0:13:01.320
<v Speaker 1>rid of, and that's these stories models lying, cheating, and

0:13:01.320 --> 0:13:04.360
<v Speaker 1>stealing to reach their goals or stop themselves being turned off.

0:13:04.400 --> 0:13:07.280
<v Speaker 1>These are intentionally deceptive, as these models can and clearly

0:13:07.360 --> 0:13:11.600
<v Speaker 1>are being prompted to take these actions. To be abundantly clear,

0:13:11.640 --> 0:13:14.320
<v Speaker 1>the manipulative suggestion here is that these models are autonomous

0:13:14.360 --> 0:13:16.400
<v Speaker 1>or conscious in some way, which they're not. When I

0:13:16.440 --> 0:13:19.040
<v Speaker 1>say prompted, I mean we don't have all of the

0:13:19.080 --> 0:13:21.800
<v Speaker 1>information as to how these models were trained or prompted

0:13:21.800 --> 0:13:25.040
<v Speaker 1>to get these answers. They can make them do them.

0:13:25.040 --> 0:13:27.960
<v Speaker 1>They could create a model to do it. And oh anthropic,

0:13:28.000 --> 0:13:32.160
<v Speaker 1>wouldn't lie, wouldn't they, Dario Amat They went on stage

0:13:32.200 --> 0:13:35.680
<v Speaker 1>and said they'll be twenty percent unemployment from white collar labors,

0:13:35.720 --> 0:13:37.280
<v Speaker 1>and he'll claim me he said it was the future.

0:13:37.280 --> 0:13:40.839
<v Speaker 1>It's a fucking lie, absolutely ridiculous. And I believe that

0:13:40.880 --> 0:13:44.200
<v Speaker 1>the generative AI market is a fifty billion dollar revenue industry,

0:13:44.200 --> 0:13:47.120
<v Speaker 1>masquerading is a trillion dollar one, and the media is helping.

0:13:47.760 --> 0:13:50.760
<v Speaker 1>And underneath this troubling fact there's another one that should

0:13:50.760 --> 0:13:54.439
<v Speaker 1>give us pause. The AI trade really is not about AI.

0:13:54.720 --> 0:13:58.120
<v Speaker 1>It's not about generative AI, it's not about autonomous agents,

0:13:58.160 --> 0:14:01.679
<v Speaker 1>it's not about AGI. It's all about GPUs, and it's

0:14:01.679 --> 0:14:14.120
<v Speaker 1>incredibly brittle as a result. Now, as I've explained at length,

0:14:14.200 --> 0:14:16.640
<v Speaker 1>the AI trade is not one based on revenue user growth,

0:14:16.640 --> 0:14:20.240
<v Speaker 1>the effixive tools or significance of any technological breakthrough. Stocks

0:14:20.280 --> 0:14:22.560
<v Speaker 1>are not moving based on whether they're making money or AI,

0:14:22.640 --> 0:14:25.280
<v Speaker 1>because if they were, they'd be moving downward. However, due

0:14:25.320 --> 0:14:27.480
<v Speaker 1>to the ViBe's based nature of the AI trade, companies

0:14:27.480 --> 0:14:31.800
<v Speaker 1>are benefiting from the press inexplicably crediting growth to AI

0:14:31.880 --> 0:14:34.520
<v Speaker 1>with no proof that that's the case. Open AI is

0:14:34.560 --> 0:14:36.920
<v Speaker 1>a terrible business, But the only business worse than open

0:14:36.920 --> 0:14:39.080
<v Speaker 1>AI are the companies built on top of them. Large

0:14:39.120 --> 0:14:41.440
<v Speaker 1>language models are too expensive to run and have limited

0:14:41.440 --> 0:14:44.640
<v Speaker 1>abilities beyond the ones I'm named previously, and because everybody's

0:14:44.680 --> 0:14:47.320
<v Speaker 1>running models that all on some level do similar things,

0:14:47.320 --> 0:14:50.080
<v Speaker 1>it's very hard for people to build really innovative products

0:14:50.080 --> 0:14:55.680
<v Speaker 1>on top of them. But ultimately, this entire trade, all

0:14:55.720 --> 0:14:59.880
<v Speaker 1>of the AI trade, hinges on GPUs. Coreweave was initially

0:15:00.040 --> 0:15:03.200
<v Speaker 1>funded by Nvidia. They're a company that does AI data centers.

0:15:03.240 --> 0:15:05.640
<v Speaker 1>I don't want to talk about them, makes me angry,

0:15:06.000 --> 0:15:09.840
<v Speaker 1>but their IPO was funded partially buy and Video sells

0:15:09.880 --> 0:15:13.000
<v Speaker 1>the GPUs. Video is also one of their customers, and

0:15:13.080 --> 0:15:17.480
<v Speaker 1>core Weave raises debt to buy GPUs by using the

0:15:17.520 --> 0:15:20.880
<v Speaker 1>GPUs they've already bought as collateral, and so they get

0:15:20.920 --> 0:15:24.160
<v Speaker 1>those loans, and then they use that money to build

0:15:24.240 --> 0:15:27.280
<v Speaker 1>data centers and buy more GPUs to put in them,

0:15:27.400 --> 0:15:31.200
<v Speaker 1>which they then use as leverage to Do you see

0:15:31.240 --> 0:15:34.160
<v Speaker 1>the Do you see the problem? Do you see the

0:15:34.240 --> 0:15:37.200
<v Speaker 1>issue with that? This isn't me being polemic or hysterical,

0:15:37.240 --> 0:15:38.920
<v Speaker 1>by the way, this is quite literally what's happening and

0:15:38.960 --> 0:15:40.920
<v Speaker 1>how core Weave operates. If you want alarm by that,

0:15:40.960 --> 0:15:43.760
<v Speaker 1>I'm not sure what to tell you Elsewhere. Oracle is

0:15:43.800 --> 0:15:46.520
<v Speaker 1>buying forty billion dollars in GPUs for the still uninformed

0:15:46.520 --> 0:15:49.440
<v Speaker 1>Stargate Data Center project, and Meta is building a Manhattan

0:15:49.520 --> 0:15:51.840
<v Speaker 1>sized data center to fill within video GPUs. If you

0:15:51.880 --> 0:15:54.200
<v Speaker 1>believe that Meta will actually do that, which I do not.

0:15:55.080 --> 0:15:57.640
<v Speaker 1>Open AI is also Microsoft's largest as your client and

0:15:57.720 --> 0:16:00.720
<v Speaker 1>insanely risky proposition on multiple levels, not simply in the

0:16:00.720 --> 0:16:03.160
<v Speaker 1>fact that it's serving the revenue at cost, but the

0:16:03.200 --> 0:16:06.320
<v Speaker 1>Microsoft executives believed that open ai would fail in the

0:16:06.320 --> 0:16:08.560
<v Speaker 1>long term when they invested in twenty twenty three. According

0:16:08.600 --> 0:16:12.440
<v Speaker 1>to the information, Microsoft is in Videa's largest client for GPUs,

0:16:12.640 --> 0:16:15.360
<v Speaker 1>meaning that any changes to Microsoft's future and interest in

0:16:15.400 --> 0:16:18.320
<v Speaker 1>open AI, such as reducing its data center expansion, would

0:16:18.320 --> 0:16:21.320
<v Speaker 1>eventually hit in Vidia's revenue. Why do you think deep

0:16:21.400 --> 0:16:23.640
<v Speaker 1>seek shocked the market. It wasn't because of any clunky

0:16:23.680 --> 0:16:26.640
<v Speaker 1>story around training techniques or costs. It was because it's

0:16:26.640 --> 0:16:28.720
<v Speaker 1>said to the market that and Video might not sell

0:16:28.760 --> 0:16:34.280
<v Speaker 1>more GPUs every single quarter in perpetuity. Microsoft, Meta, Google, Apple, Amazon,

0:16:34.320 --> 0:16:37.560
<v Speaker 1>and Tesla aren't making much money from AI. In fact,

0:16:37.600 --> 0:16:40.120
<v Speaker 1>they're losing billions of dollars on whatever revenues they do

0:16:40.200 --> 0:16:42.520
<v Speaker 1>make from it. Their stock growth is not coming from

0:16:42.560 --> 0:16:45.360
<v Speaker 1>actual revenue or actual products, but the vibes around being

0:16:45.400 --> 0:16:48.560
<v Speaker 1>an AI company, which means absolute jack shit when you

0:16:48.600 --> 0:16:51.200
<v Speaker 1>don't have to users, finances, or products to back them up.

0:16:52.000 --> 0:16:54.800
<v Speaker 1>So really everything on the AI trade comes down to

0:16:54.840 --> 0:16:57.560
<v Speaker 1>in Video's ability to sell GPUs and more of them

0:16:57.560 --> 0:17:00.160
<v Speaker 1>each quarter. And this industry, if we're really honest, is

0:17:00.160 --> 0:17:02.560
<v Speaker 1>at a point where it really only exists to do

0:17:02.680 --> 0:17:06.440
<v Speaker 1>so genera. If AI products do not provide significant revenue growth,

0:17:06.440 --> 0:17:08.480
<v Speaker 1>its products are not useful in the way that unlock

0:17:08.520 --> 0:17:11.879
<v Speaker 1>significant business value, and the products that have some adoption

0:17:12.000 --> 0:17:17.399
<v Speaker 1>run at such a grotesque loss. It's really sad. But

0:17:17.480 --> 0:17:19.399
<v Speaker 1>I realize I've thrown a lot at you. And for

0:17:19.440 --> 0:17:21.480
<v Speaker 1>the second time this year, I've recorded the three part

0:17:21.560 --> 0:17:24.680
<v Speaker 1>podcast series. And what's great is you may think maybe

0:17:24.680 --> 0:17:27.640
<v Speaker 1>I took a break. Maybe no. I recorded these bad

0:17:27.680 --> 0:17:29.960
<v Speaker 1>boys back to back to back. That's why I sound

0:17:30.040 --> 0:17:32.280
<v Speaker 1>so tired and why my voice kind of I think

0:17:32.320 --> 0:17:36.000
<v Speaker 1>smooths out. I like doing this, but I needed to

0:17:36.040 --> 0:17:37.719
<v Speaker 1>say all of this. I really did because I am

0:17:37.800 --> 0:17:42.080
<v Speaker 1>genuinely really worried. We're in a bubble. If you do

0:17:42.160 --> 0:17:44.320
<v Speaker 1>not think we're in a bubble, you are not looking outside.

0:17:44.440 --> 0:17:48.879
<v Speaker 1>Apollo Global chief economist Torsten slock Killer name said it

0:17:48.960 --> 0:17:51.879
<v Speaker 1>last week in a research note published July sixteenth. Okay,

0:17:52.000 --> 0:17:54.520
<v Speaker 1>what he said was much worse. The difference between the

0:17:54.560 --> 0:17:56.639
<v Speaker 1>IT bubble in the nineteen nineties and the AI bubble

0:17:56.640 --> 0:17:58.240
<v Speaker 1>today is that the top ten companies in the S

0:17:58.280 --> 0:17:59.879
<v Speaker 1>and p today are more overvalued than they were in

0:17:59.880 --> 0:18:02.680
<v Speaker 1>the nineteen nineties. Slock wrote in a recent research note

0:18:02.720 --> 0:18:05.200
<v Speaker 1>that was widely shared across social media. In financial circles,

0:18:06.280 --> 0:18:08.840
<v Speaker 1>we're in a bubble. We're in a bubble general. If

0:18:08.840 --> 0:18:11.200
<v Speaker 1>AI does not do the things that it's being sold

0:18:11.240 --> 0:18:13.520
<v Speaker 1>as doing, and the things it can do aren't the

0:18:13.640 --> 0:18:16.000
<v Speaker 1>kind of things that create business returns, automate labor are

0:18:16.000 --> 0:18:17.840
<v Speaker 1>really do much more than one extension of a cloud

0:18:17.880 --> 0:18:20.800
<v Speaker 1>service platform. The money isn't there, the users aren't there.

0:18:20.880 --> 0:18:22.959
<v Speaker 1>Every company seems to lose money, and some companies lose

0:18:23.040 --> 0:18:25.320
<v Speaker 1>so much money it's impossible to tell how they'll survive.

0:18:25.840 --> 0:18:29.800
<v Speaker 1>Worse Still, this bubble is entirely symbolic the bailouts. And

0:18:29.840 --> 0:18:32.240
<v Speaker 1>I know I get a lot of emails about this,

0:18:32.320 --> 0:18:35.399
<v Speaker 1>and I'm really going to address this issue right now.

0:18:35.640 --> 0:18:37.840
<v Speaker 1>The bailouts of the Great Financial Crisis were focused on

0:18:37.880 --> 0:18:39.720
<v Speaker 1>banks and funds that have failed because they ran out

0:18:39.720 --> 0:18:42.359
<v Speaker 1>of money, and the top initiative existed to plug holes

0:18:42.520 --> 0:18:47.040
<v Speaker 1>with low interest loans. There are no few holes to

0:18:47.040 --> 0:18:50.480
<v Speaker 1>plug here, because even if OpenAI and anthropics somehow became

0:18:50.480 --> 0:18:53.320
<v Speaker 1>eternal money burners, the AI trade exists based on the

0:18:53.359 --> 0:18:57.239
<v Speaker 1>continued and continually increasing sale and use of GPUs. There

0:18:57.240 --> 0:18:59.639
<v Speaker 1>are limited amounts of capital, but also limited amounts of

0:18:59.720 --> 0:19:02.040
<v Speaker 1>data is to actually put GPUs, and on top of that,

0:19:02.280 --> 0:19:04.040
<v Speaker 1>at some point growth will slow at one of the

0:19:04.080 --> 0:19:07.040
<v Speaker 1>magnificent seven, at which cost time costs will have to

0:19:07.080 --> 0:19:09.080
<v Speaker 1>come down from things that lose them tons of money,

0:19:09.080 --> 0:19:11.600
<v Speaker 1>such as generative AI. I really want to be clear,

0:19:11.640 --> 0:19:15.200
<v Speaker 1>though a lot of people say, oh, it's really kind

0:19:15.240 --> 0:19:18.399
<v Speaker 1>of lazy doomerism. I don't appreciate it, because, like, if

0:19:18.440 --> 0:19:20.320
<v Speaker 1>you're going to be worried about something, be worried about

0:19:20.359 --> 0:19:23.080
<v Speaker 1>something that's real, you're saying, oh, Trump will just bail

0:19:23.080 --> 0:19:25.440
<v Speaker 1>them out. Oh, they'll get bailed out. Who will get

0:19:25.440 --> 0:19:28.879
<v Speaker 1>bailed out? For this fast to continue? In video? Is

0:19:28.920 --> 0:19:31.359
<v Speaker 1>thirty nine point one billion dollars of data cent revenue

0:19:31.359 --> 0:19:32.840
<v Speaker 1>in the last quarter. That means the next one needs

0:19:32.880 --> 0:19:34.399
<v Speaker 1>to be forty four and one after that needs to

0:19:34.440 --> 0:19:38.320
<v Speaker 1>be like fifty sixty eighty one hundred. This needs to

0:19:38.359 --> 0:19:42.119
<v Speaker 1>continue forever. Is the government going to nationalize in video?

0:19:42.280 --> 0:19:42.359
<v Speaker 2>Is?

0:19:42.760 --> 0:19:44.080
<v Speaker 1>Well? I guess that would take them off the market,

0:19:44.119 --> 0:19:46.760
<v Speaker 1>wouldn't it is they're just going to feed in video

0:19:46.840 --> 0:19:49.600
<v Speaker 1>fifty sixty seventy billion dollars. I guess if one of

0:19:49.640 --> 0:19:51.800
<v Speaker 1>these AI companies fail, they could give them money, but

0:19:51.840 --> 0:19:53.840
<v Speaker 1>they're just going to go ahead and fucking lose it.

0:19:54.640 --> 0:19:56.159
<v Speaker 1>What do you think they're going to do? Where does

0:19:56.200 --> 0:19:59.359
<v Speaker 1>the money go? In the Great Financial Crisis, banks failed,

0:19:59.400 --> 0:20:02.000
<v Speaker 1>you had to give the bank's money. Hedge funds failed,

0:20:02.040 --> 0:20:03.959
<v Speaker 1>you had to give money to places, and then they

0:20:03.960 --> 0:20:05.880
<v Speaker 1>took the money and they weren't out of money anymore.

0:20:06.359 --> 0:20:08.240
<v Speaker 1>This isn't a case where companies will run out of

0:20:08.240 --> 0:20:11.480
<v Speaker 1>money but otherwise be okay. They don't have a way

0:20:11.520 --> 0:20:14.840
<v Speaker 1>of being okay. There is no way of being okay.

0:20:15.000 --> 0:20:16.800
<v Speaker 1>If you want to be a duma. Look at the

0:20:16.840 --> 0:20:19.280
<v Speaker 1>fact that the fucking stock market is built on saling

0:20:19.320 --> 0:20:22.480
<v Speaker 1>more and more GPUs every quarter. There is no plugging

0:20:22.520 --> 0:20:26.080
<v Speaker 1>that hole. There's nothing for you to do. Oh god,

0:20:26.119 --> 0:20:30.880
<v Speaker 1>this guy, what isn't the cost of inference coming down? No,

0:20:31.800 --> 0:20:34.000
<v Speaker 1>you do not have proof of this statement. The cost

0:20:34.000 --> 0:20:36.320
<v Speaker 1>of tokens is going down, and that is not the

0:20:36.359 --> 0:20:39.240
<v Speaker 1>cost of inference going down. Everyone's saying this is they're

0:20:39.240 --> 0:20:40.679
<v Speaker 1>saying it because a guy once said it to them.

0:20:40.720 --> 0:20:42.240
<v Speaker 1>You do not have proof. I have more proof for

0:20:42.280 --> 0:20:45.160
<v Speaker 1>what I am saying, well, it theoretically might be going down.

0:20:45.880 --> 0:20:48.800
<v Speaker 1>All evidence points to the larger models costing more money, especially

0:20:48.880 --> 0:20:52.199
<v Speaker 1>reasoning having ones like Claude Opu's four. Inference is not

0:20:52.280 --> 0:20:54.520
<v Speaker 1>the only thing happening. If this is your one response

0:20:54.560 --> 0:20:56.520
<v Speaker 1>for a big bozo and a dufus and should go

0:20:56.560 --> 0:20:59.280
<v Speaker 1>back to making squeaky noises when you see tech executives

0:20:59.359 --> 0:21:02.960
<v Speaker 1>or hear my name and a podcast. It's sickening. Even

0:21:03.000 --> 0:21:05.080
<v Speaker 1>if the cost of inference is going down, on what

0:21:05.320 --> 0:21:09.120
<v Speaker 1>model exactly is it coming down on? I don't know three,

0:21:09.520 --> 0:21:11.840
<v Speaker 1>opus fource on it. Four. I don't think it is.

0:21:12.320 --> 0:21:14.720
<v Speaker 1>The price that the model developers are charging. By the way,

0:21:14.960 --> 0:21:18.120
<v Speaker 1>is not the price of inference. That's not the same thing.

0:21:18.960 --> 0:21:21.400
<v Speaker 1>It's not the same thing at all. I'm really sick

0:21:21.440 --> 0:21:23.840
<v Speaker 1>of this goddamn point. You can hear it in my voice.

0:21:24.280 --> 0:21:27.040
<v Speaker 1>But let's move on. So some people bring up a

0:21:27.160 --> 0:21:30.280
<v Speaker 1>six and they are these customized chips for specific options

0:21:30.280 --> 0:21:33.240
<v Speaker 1>to reduce the amount that these companies are spending on compute. Right.

0:21:33.480 --> 0:21:35.879
<v Speaker 1>I have a few thoughts when is this going to happen?

0:21:35.920 --> 0:21:40.280
<v Speaker 1>For example, say open aim Broadcom actually build their asick

0:21:40.320 --> 0:21:42.760
<v Speaker 1>in twenty sixteen, twenty twenty six. They won't do this,

0:21:42.800 --> 0:21:44.760
<v Speaker 1>but that's when they're meant to How many will they build?

0:21:44.840 --> 0:21:47.840
<v Speaker 1>Do they have contact contracts with companies that can actually

0:21:48.040 --> 0:21:51.560
<v Speaker 1>produce high performance silicon or there's only three of those, Samsung,

0:21:51.560 --> 0:21:55.040
<v Speaker 1>TSMC and SMICE which is currently sanctioned. And these companies

0:21:55.359 --> 0:21:58.360
<v Speaker 1>typically have their capacity booked well in advance. Great example

0:21:58.400 --> 0:22:02.359
<v Speaker 1>for you in Nvidia restarts that h twenty GPUs and

0:22:02.480 --> 0:22:05.639
<v Speaker 1>told customers is reported by the information that they're not

0:22:05.720 --> 0:22:07.679
<v Speaker 1>going to make more because the capacity they had at

0:22:07.680 --> 0:22:12.919
<v Speaker 1>TSMC got given away because they canceled it. Even starting

0:22:12.920 --> 0:22:15.439
<v Speaker 1>a production run of a semiconductor product can take weeks.

0:22:15.560 --> 0:22:18.439
<v Speaker 1>Do they have the server architecture prepared? Have they tested it?

0:22:18.480 --> 0:22:21.199
<v Speaker 1>Does it work? Is the performance actually good? Because the

0:22:21.200 --> 0:22:23.920
<v Speaker 1>information reported the Microsoft has failed to create a workable,

0:22:23.920 --> 0:22:25.600
<v Speaker 1>reliable ASIC and the one that they're going to bring

0:22:25.640 --> 0:22:27.959
<v Speaker 1>out next year is going to be still worse than

0:22:28.000 --> 0:22:31.320
<v Speaker 1>in videos. What makes open ay special? What gives them

0:22:31.359 --> 0:22:34.240
<v Speaker 1>the industry knowledge that means that they won't run into

0:22:34.240 --> 0:22:39.280
<v Speaker 1>these problems? The answer is nothing, absolutely bloody nothing. Anyway,

0:22:39.840 --> 0:22:42.960
<v Speaker 1>if this happens, and should be clear, it takes a

0:22:43.000 --> 0:22:44.800
<v Speaker 1>lot of money to build these chips, and they're yet

0:22:44.800 --> 0:22:47.080
<v Speaker 1>to prove that these chips be better than Nvideo GPUs

0:22:47.080 --> 0:22:50.280
<v Speaker 1>FORRAI compume they're going to have to retrofit every data

0:22:50.280 --> 0:22:52.119
<v Speaker 1>center for them. By the way, they're not just going

0:22:52.200 --> 0:22:54.919
<v Speaker 1>to plug into the same thing, these Blackwell chips, and

0:22:54.960 --> 0:22:58.119
<v Speaker 1>actually generally GPUs they have specialized server architecture and N

0:22:58.160 --> 0:23:01.520
<v Speaker 1>Video is a big stickler for DETAI. So we're just

0:23:01.520 --> 0:23:03.240
<v Speaker 1>going to rip up all the stuff. So this will

0:23:03.280 --> 0:23:05.800
<v Speaker 1>I assume take two minutes, because it needs to. It's

0:23:05.840 --> 0:23:07.879
<v Speaker 1>the only way. By the way, if this actually happens,

0:23:07.880 --> 0:23:09.800
<v Speaker 1>it still fucks up the AI trade because then video

0:23:09.840 --> 0:23:17.600
<v Speaker 1>still needs to sell GPUs. Jesus Christ, I'm sorry. I'm sorry,

0:23:17.560 --> 0:23:22.639
<v Speaker 1>And people ask, is this real? Anger? Yeah. I I

0:23:22.760 --> 0:23:26.280
<v Speaker 1>read about these things, and I read the inconsistencies in

0:23:26.320 --> 0:23:29.760
<v Speaker 1>the media, and I talk about them, and I think

0:23:29.800 --> 0:23:32.000
<v Speaker 1>of the amount of times in my life I have

0:23:32.119 --> 0:23:34.560
<v Speaker 1>had people make me feel stupid or make me feel crazy.

0:23:34.600 --> 0:23:36.560
<v Speaker 1>I'm sure many of you have had this experience too,

0:23:36.760 --> 0:23:39.680
<v Speaker 1>people that are allegedly smart, people that have positions of power,

0:23:39.720 --> 0:23:44.359
<v Speaker 1>people that we look to as responsible figures. And I

0:23:44.400 --> 0:23:46.240
<v Speaker 1>think about all the times that I've known I was right,

0:23:46.280 --> 0:23:49.879
<v Speaker 1>but because there was a consensus, a group ideal, you

0:23:49.920 --> 0:23:51.480
<v Speaker 1>had to kind of stick by it even if it

0:23:51.520 --> 0:23:55.159
<v Speaker 1>was something factually wrong. What I did the experience in

0:23:55.200 --> 0:23:59.159
<v Speaker 1>the past was seeing the media do it like this,

0:23:59.320 --> 0:24:01.520
<v Speaker 1>and the way in which the media has done it,

0:24:01.520 --> 0:24:05.120
<v Speaker 1>it's sickening. It's sickening because the people that will get

0:24:05.240 --> 0:24:09.159
<v Speaker 1>hurt will be the people whose retirements and who's just

0:24:09.880 --> 0:24:13.000
<v Speaker 1>savings are going to get lamped by this crap. And

0:24:13.040 --> 0:24:16.399
<v Speaker 1>I'm worried. I'm worried because despite all these obvious, brutal

0:24:16.400 --> 0:24:19.439
<v Speaker 1>and near on fixable problems, everybody is walking around acting

0:24:19.480 --> 0:24:21.920
<v Speaker 1>like things are going great with AI. The New York

0:24:21.960 --> 0:24:24.720
<v Speaker 1>Times claims everybody is using AI for everything, and I'm talking,

0:24:24.760 --> 0:24:29.280
<v Speaker 1>of course about Kevin Ruse and Casey Newton. But baby

0:24:29.920 --> 0:24:32.479
<v Speaker 1>cannot wait for when this explodes. Guys, you have no

0:24:32.560 --> 0:24:34.480
<v Speaker 1>idea how funny it's going to be. And by the way,

0:24:34.480 --> 0:24:36.280
<v Speaker 1>this is a blatant lie, one that exists to prop

0:24:36.359 --> 0:24:38.639
<v Speaker 1>up an industry that has categorically failed to deliver the

0:24:38.680 --> 0:24:41.560
<v Speaker 1>innovations of returns that it promised, yet still receives this

0:24:41.600 --> 0:24:43.960
<v Speaker 1>glowing press from a tech and business media that refuses

0:24:44.000 --> 0:24:45.840
<v Speaker 1>to look outside and see that the sky is red

0:24:45.880 --> 0:24:49.560
<v Speaker 1>and frogs are landing everywhere other than the frog thing.

0:24:49.680 --> 0:24:53.480
<v Speaker 1>I'm not being dramatic. Everywhere you look in the AI trade,

0:24:53.480 --> 0:24:56.879
<v Speaker 1>things are getting worse. No revenue, William's being burned, no mote,

0:24:56.880 --> 0:25:00.200
<v Speaker 1>no infrastructure play, no comparables in history other than the

0:25:00.240 --> 0:25:02.040
<v Speaker 1>dot com bubble and we work, and a series of

0:25:02.040 --> 0:25:05.000
<v Speaker 1>flagrant lies spouted by the powerful and members of the

0:25:05.000 --> 0:25:08.800
<v Speaker 1>press that are afraid of moving against market consensus. Worse still,

0:25:08.840 --> 0:25:12.560
<v Speaker 1>despite Nvidia's strength, in Vidia is the market's weakness through

0:25:12.560 --> 0:25:15.520
<v Speaker 1>no fault of its own. Really, Jensen Wong sells GPUs,

0:25:15.600 --> 0:25:17.679
<v Speaker 1>people want to buy GPUs, and now the rest of

0:25:17.720 --> 0:25:20.840
<v Speaker 1>the market is leading aggressively on one company selling one thing,

0:25:21.160 --> 0:25:23.320
<v Speaker 1>feeding it billions of dollars in the hopes that the

0:25:23.320 --> 0:25:26.600
<v Speaker 1>things they're buying start making them profit. And that really

0:25:26.760 --> 0:25:29.480
<v Speaker 1>is the most ridiculous thing. At the center of the

0:25:29.520 --> 0:25:33.520
<v Speaker 1>AI trade sits enterprise GPUs that on installation immediately start

0:25:33.600 --> 0:25:36.800
<v Speaker 1>losing the company and question money. Large language models burn

0:25:36.880 --> 0:25:39.320
<v Speaker 1>cash for negative returns to build products that all kind

0:25:39.320 --> 0:25:42.000
<v Speaker 1>of work the same way. Now, if you're gonna say

0:25:42.000 --> 0:25:44.000
<v Speaker 1>I'm wrong, sit and think carefully about why is it

0:25:44.000 --> 0:25:45.720
<v Speaker 1>because you don't want me to be right? Is it

0:25:45.760 --> 0:25:48.680
<v Speaker 1>because you think these companies will work it out? This

0:25:48.760 --> 0:25:51.960
<v Speaker 1>isn't anything like uber aws or any other situation. It's

0:25:52.000 --> 0:25:55.200
<v Speaker 1>its own monstrosity, a creature of hubrious and ignorance caused

0:25:55.240 --> 0:25:57.359
<v Speaker 1>by a tech industry that's out of ideas, built on

0:25:57.359 --> 0:26:01.280
<v Speaker 1>top of a one company. Really, play with me all

0:26:01.320 --> 0:26:03.560
<v Speaker 1>you want about how there are actual people using AI.

0:26:03.880 --> 0:26:06.679
<v Speaker 1>You've probably read the my AIS skeptic friends are All

0:26:06.800 --> 0:26:09.000
<v Speaker 1>Nuts blog, and if you're going to send that to me,

0:26:09.080 --> 0:26:11.800
<v Speaker 1>read the response from Nick Suesh First. I've linked both

0:26:11.840 --> 0:26:13.800
<v Speaker 1>in the show notes. And if you're going to say

0:26:13.840 --> 0:26:16.080
<v Speaker 1>that I don't actually speak to people who use these products,

0:26:16.080 --> 0:26:20.840
<v Speaker 1>you are categorically wrong and in denial. I'm only saying

0:26:20.920 --> 0:26:22.840
<v Speaker 1>all of this with this aggressive tone because for the

0:26:22.840 --> 0:26:25.280
<v Speaker 1>best part of two years, I've been made to repeatedly

0:26:25.280 --> 0:26:28.040
<v Speaker 1>explain myself in a way that no AI optimist has

0:26:28.080 --> 0:26:31.000
<v Speaker 1>ever been made, and I admit I resent it. I

0:26:31.040 --> 0:26:34.400
<v Speaker 1>have read hundreds of thousands of words, with hundreds of citations,

0:26:34.400 --> 0:26:37.960
<v Speaker 1>and still to this day, there are some people that

0:26:38.000 --> 0:26:40.959
<v Speaker 1>claim I'm somehow flawed in my analysis, that I'm missing something,

0:26:40.960 --> 0:26:43.159
<v Speaker 1>that I am somehow failing to make my case that

0:26:43.200 --> 0:26:46.520
<v Speaker 1>I haven't spoken to enough fart sniffers, that I haven't

0:26:46.840 --> 0:26:51.920
<v Speaker 1>delighted in the ideals and falsities of AGI. The only

0:26:51.960 --> 0:26:54.600
<v Speaker 1>people failing to make their case the AI optimists, still

0:26:54.640 --> 0:26:57.800
<v Speaker 1>claiming that these companies are making powerful AI, and once

0:26:57.880 --> 0:27:00.760
<v Speaker 1>this bubble pops, I will be asking for an apology.

0:27:15.280 --> 0:27:18.600
<v Speaker 1>But I must be clear, even though a lot of

0:27:18.640 --> 0:27:21.960
<v Speaker 1>things are coming true that I thought would, and I

0:27:22.000 --> 0:27:25.040
<v Speaker 1>think more will come true, I'll be proven right again

0:27:25.080 --> 0:27:29.280
<v Speaker 1>and again. I don't actually like what's happening. And I

0:27:29.400 --> 0:27:32.440
<v Speaker 1>like ending these podcasts with personal thoughts about stuff because

0:27:32.520 --> 0:27:35.639
<v Speaker 1>I'm an emotional and overly honest person. I enjoy doing

0:27:35.680 --> 0:27:39.960
<v Speaker 1>this a great deal. I do not, however, enjoy telling

0:27:39.960 --> 0:27:42.800
<v Speaker 1>you at length how brittle everything is. An ideal tech

0:27:42.840 --> 0:27:45.639
<v Speaker 1>industry would be one built on innovation, revenue, real growth,

0:27:45.720 --> 0:27:48.280
<v Speaker 1>based on actual business returns that helped humans be better,

0:27:48.560 --> 0:27:52.760
<v Speaker 1>and not outright lies about replacing them. All that Generative

0:27:52.760 --> 0:27:54.680
<v Speaker 1>AI has done has shown how much loss there is

0:27:54.720 --> 0:27:57.040
<v Speaker 1>in both the markets and the media and replacing labor,

0:27:57.520 --> 0:27:59.280
<v Speaker 1>and I must be clear, it really is the media.

0:27:59.320 --> 0:28:01.840
<v Speaker 1>There are some of you who are fucking circos and

0:28:02.000 --> 0:28:05.199
<v Speaker 1>not pointing to anyone specifically. But if you are excited

0:28:05.280 --> 0:28:08.240
<v Speaker 1>about AI replacing people, I need you to review your

0:28:08.280 --> 0:28:10.440
<v Speaker 1>biases a little bit. I need you to think about

0:28:10.480 --> 0:28:13.880
<v Speaker 1>what it is you're so excited about another aside. By

0:28:13.920 --> 0:28:18.080
<v Speaker 1>the way, all these agi artificial general intelligence conversations, they

0:28:18.160 --> 0:28:20.560
<v Speaker 1>love to talk about why they're scared of them, but

0:28:20.600 --> 0:28:22.439
<v Speaker 1>they never want to talk about one thing, which is,

0:28:22.480 --> 0:28:27.440
<v Speaker 1>if we make a conscious intelligence, wouldn't that have personage

0:28:28.520 --> 0:28:34.440
<v Speaker 1>and we control and manipulate this conscious being, that's slavery.

0:28:34.560 --> 0:28:36.800
<v Speaker 1>We would have been inventing a new kind of slave,

0:28:37.560 --> 0:28:41.200
<v Speaker 1>because if we are making computers that have consciousness, that's

0:28:41.240 --> 0:28:44.360
<v Speaker 1>what we are doing. If you don't believe this, by

0:28:44.400 --> 0:28:47.440
<v Speaker 1>the way, you just don't want to think about the truth.

0:28:48.880 --> 0:28:51.640
<v Speaker 1>But on the jobless thing, I really do believe that

0:28:51.680 --> 0:28:55.000
<v Speaker 1>there are multiple reporters if your genuine excitement when they

0:28:55.040 --> 0:28:58.080
<v Speaker 1>write scary stories about how Daria Amadasa's white collar workers

0:28:58.080 --> 0:28:59.640
<v Speaker 1>will be fired in the next few years in favor

0:28:59.680 --> 0:29:03.080
<v Speaker 1>of age. It's gross and I know I'm repeating myself,

0:29:03.080 --> 0:29:05.600
<v Speaker 1>but I really must be clear, be more mindful about

0:29:05.600 --> 0:29:07.680
<v Speaker 1>what you're writing, because what you're writing does not prove

0:29:07.760 --> 0:29:10.880
<v Speaker 1>this thesis at all. You're just repeating a guy's thingy,

0:29:11.240 --> 0:29:15.440
<v Speaker 1>you're repeating what a guy said, and it's sickening. But

0:29:15.560 --> 0:29:17.520
<v Speaker 1>before I move into the end of this, I also

0:29:17.560 --> 0:29:20.160
<v Speaker 1>want to address one other thing that and I'm doing this,

0:29:20.200 --> 0:29:22.360
<v Speaker 1>I'm fully going to admit because someone just sent me

0:29:22.360 --> 0:29:24.920
<v Speaker 1>an email about this and they just sent me this

0:29:25.320 --> 0:29:28.120
<v Speaker 1>gotcha thing where it's okay, the government just gave Department

0:29:28.160 --> 0:29:30.480
<v Speaker 1>of Defense gave two hundred million dollar contracts to open

0:29:30.480 --> 0:29:34.959
<v Speaker 1>Ai Xai Google anthropic. I believe and that somehow government

0:29:34.960 --> 0:29:36.720
<v Speaker 1>money will plug this. Well, first of all, all the

0:29:36.760 --> 0:29:40.160
<v Speaker 1>revenue is unprofitable. Second of all, no, it won't like it.

0:29:40.440 --> 0:29:42.840
<v Speaker 1>It isn't enough money they need for open Ai to

0:29:42.920 --> 0:29:45.600
<v Speaker 1>somehow become profitable. They need to need like ten billion

0:29:45.640 --> 0:29:48.520
<v Speaker 1>dollars of free money every year, like just given to

0:29:48.560 --> 0:29:52.920
<v Speaker 1>them with no expenditure. On top of this, there is

0:29:53.000 --> 0:29:55.880
<v Speaker 1>this weird duma of philosophy. It's like, oh, the government

0:29:55.920 --> 0:29:58.400
<v Speaker 1>will use it for propaganda. They will use it as

0:29:58.400 --> 0:30:01.240
<v Speaker 1>a cheap propaganda machine. Bec and really does propaganda. We've

0:30:01.240 --> 0:30:06.080
<v Speaker 1>done propaganda for years, every government does. There's nothing efficient

0:30:06.160 --> 0:30:08.720
<v Speaker 1>or cheap or even useful about it. They're already the

0:30:09.080 --> 0:30:12.720
<v Speaker 1>White House is already posting AI generated stuff. Is how

0:30:12.800 --> 0:30:14.840
<v Speaker 1>is this going to keep the industry going exactly? Who

0:30:14.880 --> 0:30:17.680
<v Speaker 1>fucking knows. But then there's this thing of oh, the

0:30:17.720 --> 0:30:21.440
<v Speaker 1>surveillance state, the generative AI. This will prop up open AI,

0:30:21.520 --> 0:30:23.440
<v Speaker 1>anthropic and the likes. It will plug into all the

0:30:23.480 --> 0:30:25.960
<v Speaker 1>data sets and go, oh, we can do shit. Even

0:30:26.000 --> 0:30:27.760
<v Speaker 1>if it does that, I don't even want to think

0:30:27.760 --> 0:30:30.320
<v Speaker 1>of them doing this. It's not a fucking business. It's

0:30:30.320 --> 0:30:32.440
<v Speaker 1>not going to make them that much money. There's nothing

0:30:32.440 --> 0:30:35.360
<v Speaker 1>specialist about it because all large anguish models are fundamentally

0:30:35.400 --> 0:30:38.040
<v Speaker 1>trained on the same data, not only really tweaked by

0:30:38.080 --> 0:30:42.160
<v Speaker 1>reinforcement learning and the like. It's just they'll just buy

0:30:42.200 --> 0:30:45.040
<v Speaker 1>whatever model is cheapest, or they'll put it on prem

0:30:45.120 --> 0:30:47.719
<v Speaker 1>It doesn't really And I do want to say, if

0:30:47.760 --> 0:30:50.160
<v Speaker 1>you're scared of this stuff, be scared of the real stuff.

0:30:50.360 --> 0:30:54.040
<v Speaker 1>Don't just assume the worst and then don't think about

0:30:54.080 --> 0:30:55.840
<v Speaker 1>it much more. If you're going to assume the worst,

0:30:56.040 --> 0:31:01.640
<v Speaker 1>assume based on facts. I want you to feel better

0:31:01.720 --> 0:31:04.120
<v Speaker 1>when you listen to this, or at least edified. And

0:31:04.200 --> 0:31:06.840
<v Speaker 1>I don't want to ever scare you. I don't really

0:31:06.920 --> 0:31:08.600
<v Speaker 1>want to tell you how to feel. Ever, it's one

0:31:08.640 --> 0:31:10.840
<v Speaker 1>of the early feedbacks on the shows. Never tell people

0:31:10.880 --> 0:31:13.920
<v Speaker 1>how to feel, but I want you to contact me

0:31:13.960 --> 0:31:15.880
<v Speaker 1>if you're ever worried. I'm happy to help. But also

0:31:16.000 --> 0:31:19.680
<v Speaker 1>know that these are not smart men, and things have

0:31:19.760 --> 0:31:22.600
<v Speaker 1>got out of hand, and everything I'm discussing is the

0:31:22.640 --> 0:31:24.960
<v Speaker 1>result of the rot economy thesis. I wrote in twenty

0:31:25.000 --> 0:31:27.920
<v Speaker 1>twenty three, The underlying thesis of this entire show, this

0:31:28.040 --> 0:31:30.600
<v Speaker 1>growth of all cost mindset that's driven every tech company

0:31:30.600 --> 0:31:34.440
<v Speaker 1>to focus on increasingly large quarterly revenue numbers even if

0:31:34.440 --> 0:31:37.200
<v Speaker 1>the products are or they're deeply unprofitable, or in the

0:31:37.200 --> 0:31:40.760
<v Speaker 1>case of generative AI both. Nowhere has this ever been

0:31:40.840 --> 0:31:44.360
<v Speaker 1>more obvious, Never has there been a more pungent version

0:31:44.400 --> 0:31:46.760
<v Speaker 1>of the rot economy than in large language models or

0:31:46.800 --> 0:31:50.200
<v Speaker 1>more specifically, transformer based models. In their relationships with GPUs,

0:31:50.840 --> 0:31:53.360
<v Speaker 1>by making everything about growth, you inevitably reach a point

0:31:53.360 --> 0:31:54.840
<v Speaker 1>where the only thing you know how to do is

0:31:54.880 --> 0:31:57.560
<v Speaker 1>spend money. And both l LAMBS and GPUs allow big

0:31:57.600 --> 0:31:59.480
<v Speaker 1>tech to do the thing that work before building a

0:31:59.480 --> 0:32:01.560
<v Speaker 1>bunch of days centers and buying a large bunch of

0:32:01.640 --> 0:32:04.480
<v Speaker 1>chips and paying a lot of people without making sure

0:32:04.480 --> 0:32:06.960
<v Speaker 1>they've done the critical work of making sure this would

0:32:06.960 --> 0:32:12.280
<v Speaker 1>create things that were useful or profitable, and neither seems

0:32:12.320 --> 0:32:14.720
<v Speaker 1>to be the case. As a result, we're now sitting

0:32:14.760 --> 0:32:16.640
<v Speaker 1>on top of one of the most brittle situations in

0:32:16.720 --> 0:32:19.760
<v Speaker 1>economic history. Our market is held up by whether four

0:32:19.840 --> 0:32:22.080
<v Speaker 1>or five companies will continue to buy chips that start

0:32:22.080 --> 0:32:25.200
<v Speaker 1>losing the money the second they're installed. And I'm disgusted

0:32:25.200 --> 0:32:27.640
<v Speaker 1>by how many people are unwilling or unable to engage

0:32:27.680 --> 0:32:31.640
<v Speaker 1>with the truth, favoring instead a scornful, contemptuous tone toward

0:32:31.720 --> 0:32:34.320
<v Speaker 1>anybody who doesn't believe that generative AI is the future.

0:32:34.880 --> 0:32:37.800
<v Speaker 1>If you're a writer that writes about AI smarmily insulting

0:32:37.800 --> 0:32:41.000
<v Speaker 1>people who don't understand AI, you're a shitty fucking writer

0:32:41.160 --> 0:32:43.840
<v Speaker 1>because ai't is either not that good or you're not

0:32:43.880 --> 0:32:47.280
<v Speaker 1>good at explaining what it's good. Perhaps it's both, dickhead,

0:32:47.520 --> 0:32:49.400
<v Speaker 1>And if you want to know my true agenda, it's

0:32:49.400 --> 0:32:52.600
<v Speaker 1>that I see something in generative AI, and it's boosters

0:32:52.600 --> 0:32:57.320
<v Speaker 1>that I truly dislike. Large language models, authoritativity state things

0:32:57.360 --> 0:32:59.520
<v Speaker 1>that are incorrect because they have no concept of right

0:32:59.600 --> 0:33:02.520
<v Speaker 1>or wrong, well really anything. They don't have concepts of concepts.

0:33:02.640 --> 0:33:05.880
<v Speaker 1>They don't think. I believe that the writers Managers and

0:33:05.920 --> 0:33:08.760
<v Speaker 1>executives that find it exciting do so because it gives

0:33:08.760 --> 0:33:11.080
<v Speaker 1>them the ability to pretend to be intelligent without actually

0:33:11.160 --> 0:33:15.040
<v Speaker 1>learning anything, to do everything they can to avoid actual work, knowledge,

0:33:15.080 --> 0:33:19.280
<v Speaker 1>or responsibility for themselves or others. There is this overwhelming

0:33:19.320 --> 0:33:22.680
<v Speaker 1>condescension that comes from fans of generative AI, the sense

0:33:22.720 --> 0:33:25.200
<v Speaker 1>that they know something, you've done, something they double down on.

0:33:25.600 --> 0:33:27.600
<v Speaker 1>We are being forced to use it by bosses or

0:33:27.640 --> 0:33:29.880
<v Speaker 1>services we like that now insist it's parts of our

0:33:29.920 --> 0:33:33.120
<v Speaker 1>documents or our search engines, not because it does something

0:33:33.200 --> 0:33:35.479
<v Speaker 1>or helps us, but because those pushing it need us

0:33:35.480 --> 0:33:37.560
<v Speaker 1>to use it to prove that they know what's going on.

0:33:38.120 --> 0:33:40.479
<v Speaker 1>To quote my editor Matt Hughes, generative AI is an

0:33:40.480 --> 0:33:43.360
<v Speaker 1>expression of contempt towards people, one that considers them to

0:33:43.360 --> 0:33:47.080
<v Speaker 1>be a commodity at best and a rapidly depreciating asset

0:33:47.160 --> 0:33:49.480
<v Speaker 1>at worst. And Matt would have said that correctly. I

0:33:49.520 --> 0:33:52.840
<v Speaker 1>haven't quite cracked why. But GENERATAI also brings out the

0:33:52.880 --> 0:33:55.280
<v Speaker 1>worst in people. By giving the illusion of labor, it

0:33:55.280 --> 0:33:57.720
<v Speaker 1>excites those who are desperate to replace the commoditize it.

0:33:58.080 --> 0:34:00.600
<v Speaker 1>By giving the illusion of education, it excites those are

0:34:00.600 --> 0:34:03.280
<v Speaker 1>too idle to actually learn things by convincing them, like

0:34:03.400 --> 0:34:06.120
<v Speaker 1>uber CEO Travis Kalenik, then a few minutes that they

0:34:06.160 --> 0:34:09.480
<v Speaker 1>can learn quantum physics. By giving the illusion of activity,

0:34:09.520 --> 0:34:11.680
<v Speaker 1>it allows the gluttony of business idi it's that control

0:34:11.760 --> 0:34:14.880
<v Speaker 1>everything to pretend that they're doing something. By giving the

0:34:14.920 --> 0:34:18.160
<v Speaker 1>illusion of futurity, which is David Carp's excellent term, it

0:34:18.200 --> 0:34:21.680
<v Speaker 1>gives reporters that long since disconnected from actual software and

0:34:21.719 --> 0:34:23.840
<v Speaker 1>hardware the ability to pretend that they know what's happening

0:34:23.840 --> 0:34:27.320
<v Speaker 1>in the tech industry. And fundamentally, it's biggest illusion is

0:34:27.440 --> 0:34:31.120
<v Speaker 1>economic activity, because despite being questionably useful and burning billions

0:34:31.160 --> 0:34:33.880
<v Speaker 1>of dollars, its neat to do so creates justification for

0:34:33.920 --> 0:34:36.600
<v Speaker 1>spending billions of dollars on GPUs and data center sprawl,

0:34:36.640 --> 0:34:38.680
<v Speaker 1>which allows big tech to send money into something and

0:34:38.719 --> 0:34:43.919
<v Speaker 1>give the illusion of growth. I really love doing this show.

0:34:44.080 --> 0:34:47.040
<v Speaker 1>I love it so much, but I don't enjoy it

0:34:47.120 --> 0:34:50.600
<v Speaker 1>this material. I mean, I enjoy performing it, I guess,

0:34:50.680 --> 0:34:54.480
<v Speaker 1>But what I'm talking about is pretty fucking grim. And

0:34:54.600 --> 0:34:58.880
<v Speaker 1>every week I am cataloging how people in power haven't

0:34:59.400 --> 0:35:04.040
<v Speaker 1>noticed something that's inherently a scam that's really based on lies,

0:35:04.080 --> 0:35:06.840
<v Speaker 1>and how the people responsible in the media have just

0:35:07.280 --> 0:35:10.120
<v Speaker 1>kind of turned away from readers in favor of doing

0:35:10.160 --> 0:35:13.040
<v Speaker 1>what they think the market wants or confirming their own

0:35:13.120 --> 0:35:19.080
<v Speaker 1>lazy biases. It's sad, and I think I'm right, and

0:35:19.120 --> 0:35:23.080
<v Speaker 1>I'm not necessarily happy about being right. And if I'm wrong,

0:35:23.520 --> 0:35:26.080
<v Speaker 1>I get asked this a lot. If I'm wrong, I

0:35:26.120 --> 0:35:28.959
<v Speaker 1>will explain why I'm wrong in great detail. I will

0:35:29.000 --> 0:35:32.279
<v Speaker 1>not shy away from taking accountability, because I think that

0:35:32.280 --> 0:35:34.920
<v Speaker 1>that's what you should expect from me. I'm serious. If

0:35:34.960 --> 0:35:37.319
<v Speaker 1>I'm somehow wrong here, you will hear why. I'll do

0:35:37.520 --> 0:35:41.400
<v Speaker 1>entire episodes about it. I'm serious, but I really do

0:35:41.440 --> 0:35:43.960
<v Speaker 1>not think I am, and that's why I sound kind

0:35:43.960 --> 0:35:47.280
<v Speaker 1>of downcast and alarmed what I'm describing as a bubble.

0:35:47.280 --> 0:35:50.239
<v Speaker 1>I'm one with an obvious weakness. One company's ability to

0:35:50.239 --> 0:35:52.279
<v Speaker 1>sell hardware to four or five other companies all to

0:35:52.360 --> 0:35:55.400
<v Speaker 1>run services that lose billions of dollars. At some point,

0:35:55.400 --> 0:35:58.040
<v Speaker 1>the momentum behind the video slows. Maybe it won't even

0:35:58.040 --> 0:35:59.800
<v Speaker 1>be sales slowing. Maybe it would just be the suggestion

0:35:59.880 --> 0:36:01.719
<v Speaker 1>that one of the largest companies won't be buying as

0:36:01.719 --> 0:36:05.640
<v Speaker 1>many GPUs. Perception matters just as much as actual numbers

0:36:05.840 --> 0:36:08.120
<v Speaker 1>and sometimes more, and a shifting sentiment could start a

0:36:08.200 --> 0:36:10.960
<v Speaker 1>chain of events that knocks down the entire house of cards.

0:36:11.360 --> 0:36:14.560
<v Speaker 1>Check may. I don't know when, I don't know how,

0:36:14.680 --> 0:36:18.080
<v Speaker 1>but I really really don't know how I'm wrong. And

0:36:18.160 --> 0:36:21.240
<v Speaker 1>I hate that so many people will see their retirements wrecked,

0:36:21.239 --> 0:36:24.040
<v Speaker 1>and that so many people intentionally or accidentally helped steer

0:36:24.040 --> 0:36:27.799
<v Speaker 1>the economy in this reckless, needless, and wasteful direction, all

0:36:27.800 --> 0:36:29.879
<v Speaker 1>because big tech didn't have a new way to show

0:36:29.960 --> 0:36:32.680
<v Speaker 1>quarterly growth. And that there are so many people out

0:36:32.719 --> 0:36:36.960
<v Speaker 1>there that love the idea of replacing workers and using

0:36:37.000 --> 0:36:40.160
<v Speaker 1>the computer to do work for them. And I hate

0:36:40.160 --> 0:36:42.480
<v Speaker 1>that so many people have lost their jobs because companies

0:36:42.520 --> 0:36:44.799
<v Speaker 1>are spending the equivalent of the entire GDP of some

0:36:44.920 --> 0:36:48.280
<v Speaker 1>European country on data centers and GPUs that won't actually

0:36:48.280 --> 0:36:51.360
<v Speaker 1>deliver any value. Sach and Adella is a fucking monster.

0:36:51.680 --> 0:36:53.920
<v Speaker 1>Fifteen thousand people laid off this year so you can

0:36:53.960 --> 0:36:58.000
<v Speaker 1>do more, fucking clippy, you ass wipe. If sach an

0:36:58.000 --> 0:37:01.120
<v Speaker 1>Adella somehow it hears this up, be so happy. But

0:37:01.200 --> 0:37:03.160
<v Speaker 1>my purpose here is to explain to you, no matter

0:37:03.160 --> 0:37:05.360
<v Speaker 1>your background or interest or creed or whatever way you

0:37:05.480 --> 0:37:08.759
<v Speaker 1>find my work why all of this is happening. As

0:37:08.800 --> 0:37:10.719
<v Speaker 1>you watch this collapse, I want you to tell your

0:37:10.719 --> 0:37:14.160
<v Speaker 1>friends about why, the people responsible and decisions they made,

0:37:14.160 --> 0:37:17.319
<v Speaker 1>and make sure it's clear that there are people responsible.

0:37:18.120 --> 0:37:22.600
<v Speaker 1>Sam Altman, Dario Ama Day, Sachin Adela, Sundar Pieshit, Tim Cook,

0:37:22.719 --> 0:37:27.040
<v Speaker 1>Elon Musk, Mark Zuckerberg, and Andy Jasse have overseen a needless, wasteful,

0:37:27.080 --> 0:37:30.600
<v Speaker 1>and destructive economic force that will harmer economy, our markets,

0:37:30.600 --> 0:37:32.879
<v Speaker 1>and the tech industry writ large. And when this is over,

0:37:33.160 --> 0:37:37.640
<v Speaker 1>they must be held accountable. And remember that you, as

0:37:37.680 --> 0:37:40.960
<v Speaker 1>a regular person, can understand all of this. These people

0:37:41.000 --> 0:37:42.840
<v Speaker 1>want you to believe that this is black magic, that

0:37:42.880 --> 0:37:45.240
<v Speaker 1>you're wrong to worry about the billions wasted or question

0:37:45.320 --> 0:37:47.879
<v Speaker 1>the usefulness of the tools. They want you to sit

0:37:47.920 --> 0:37:50.080
<v Speaker 1>there and say, tech God away from me. I just

0:37:50.080 --> 0:37:53.560
<v Speaker 1>don't understand how the computer works anymore. How about that

0:37:53.560 --> 0:37:57.279
<v Speaker 1>the computer doesn't work anymore, that the computer regularly does

0:37:57.320 --> 0:37:59.760
<v Speaker 1>not do the things you want it to. And Generative

0:37:59.760 --> 0:38:03.240
<v Speaker 1>AI just the most pornographic example of a tech industry

0:38:03.239 --> 0:38:07.560
<v Speaker 1>that gave up on user interfaces, user experience, and users altogether.

0:38:08.320 --> 0:38:10.680
<v Speaker 1>You were smarter than they reckon and stronger than they know.

0:38:10.760 --> 0:38:12.759
<v Speaker 1>In A better future is one where you recognize this

0:38:12.880 --> 0:38:15.400
<v Speaker 1>and realize that power and money doesn't make a man righteous,

0:38:15.440 --> 0:38:18.480
<v Speaker 1>right or smart. These people sicken me, and if I'm

0:38:18.480 --> 0:38:20.719
<v Speaker 1>going to be honest, I think a lot of this

0:38:20.880 --> 0:38:23.319
<v Speaker 1>work comes down to them reminding me of people I

0:38:23.360 --> 0:38:27.719
<v Speaker 1>grew up with, people I've met throughout my life. Speecious

0:38:27.800 --> 0:38:31.000
<v Speaker 1>managers that have got there by glad handling, not through

0:38:31.080 --> 0:38:34.040
<v Speaker 1>real work or producing anything of value, but by stealing

0:38:34.320 --> 0:38:37.319
<v Speaker 1>or tricking, by throwing other people under the bus, and

0:38:37.360 --> 0:38:39.960
<v Speaker 1>in some cases, and I'm thinking of one specific fucking

0:38:40.040 --> 0:38:43.799
<v Speaker 1>person driving it themselves. These people are the ones the

0:38:43.800 --> 0:38:47.239
<v Speaker 1>most excited about AI. They're the ones that believe that

0:38:47.320 --> 0:38:50.400
<v Speaker 1>this technology will finally give them the ability to have

0:38:50.480 --> 0:38:53.680
<v Speaker 1>the abilities of those that work without actually having to

0:38:53.680 --> 0:38:57.600
<v Speaker 1>get off their fucking asses. And they sicken me. They

0:38:57.680 --> 0:39:00.879
<v Speaker 1>disgust me, because there is a different way of looking

0:39:00.920 --> 0:39:03.520
<v Speaker 1>at how generative AI could have been. That it enhances humans,

0:39:03.520 --> 0:39:05.919
<v Speaker 1>that it makes them able to do more things rather

0:39:05.960 --> 0:39:08.799
<v Speaker 1>than replacing them. That likely would have led us in

0:39:08.840 --> 0:39:10.759
<v Speaker 1>a different direction and probably wouldn't have led to the

0:39:10.760 --> 0:39:13.440
<v Speaker 1>billions of dollars of investment in this because when you

0:39:13.480 --> 0:39:18.160
<v Speaker 1>think about helping people. Suddenly the money dries up. I

0:39:18.200 --> 0:39:21.080
<v Speaker 1>sound cynical, but I've said this before. I'm a broken

0:39:21.120 --> 0:39:24.280
<v Speaker 1>hearted romantic. I hate what the tech industry has become.

0:39:25.320 --> 0:39:27.840
<v Speaker 1>But people also said that I can do this. Fucking

0:39:27.840 --> 0:39:29.719
<v Speaker 1>four years ago I had five years ago, had three

0:39:29.800 --> 0:39:32.960
<v Speaker 1>hundred subscribers on my newsletter on about sixty seven thousands

0:39:33.000 --> 0:39:35.200
<v Speaker 1>of people, an indeterminate amount of you. I can't say

0:39:35.239 --> 0:39:39.480
<v Speaker 1>it due to policy. Listen to this show, and that's

0:39:39.520 --> 0:39:42.719
<v Speaker 1>proof enough. I think that one idiot, worked up white

0:39:42.760 --> 0:39:46.200
<v Speaker 1>boy from London that the school teacher once said should

0:39:46.239 --> 0:39:50.440
<v Speaker 1>get used to flipping burgers can do something. I'm nobody.

0:39:50.560 --> 0:39:53.080
<v Speaker 1>I'm just a guy, but I've spent the time to

0:39:53.080 --> 0:39:55.520
<v Speaker 1>read this stuff and to divine meaning from this stuff,

0:39:55.719 --> 0:39:58.520
<v Speaker 1>just like you can. I hope I've helped you. That's

0:39:58.520 --> 0:40:00.520
<v Speaker 1>what I'm here to do. I love doing this, and

0:40:00.560 --> 0:40:02.319
<v Speaker 1>I feel ever grateful that I'm able to every day,

0:40:02.320 --> 0:40:04.440
<v Speaker 1>and I love all of you for listening. It takes

0:40:04.480 --> 0:40:05.880
<v Speaker 1>a lot of ever to put this out, but it

0:40:05.920 --> 0:40:09.279
<v Speaker 1>also is a choice of yours. How much time you

0:40:09.320 --> 0:40:11.440
<v Speaker 1>can you have in a day is not your choice,

0:40:11.480 --> 0:40:13.840
<v Speaker 1>but how you used it is. And I deeply appreciate

0:40:13.880 --> 0:40:16.640
<v Speaker 1>you've forgiving me your time. Thank you so much. This

0:40:16.760 --> 0:40:28.040
<v Speaker 1>has been the hater's guide to the AI bubble. Thank

0:40:28.040 --> 0:40:29.560
<v Speaker 1>you for listening to Better Offline.

0:40:29.640 --> 0:40:32.080
<v Speaker 2>The editor and composer of the Better Offline theme song

0:40:32.160 --> 0:40:34.799
<v Speaker 2>is Matasowski. You can check out more of his music

0:40:34.840 --> 0:40:38.479
<v Speaker 2>and audio projects at Matasowski dot com, M A T

0:40:38.480 --> 0:40:42.960
<v Speaker 2>T O S O W s ki dot com. You

0:40:42.960 --> 0:40:45.480
<v Speaker 2>can email me at easy at Better Offline dot com

0:40:45.560 --> 0:40:47.880
<v Speaker 2>or visit Better Offline dot com to find more podcast

0:40:47.920 --> 0:40:51.240
<v Speaker 2>links and of course, my newsletter. I also really recommend

0:40:51.280 --> 0:40:53.200
<v Speaker 2>you go to chat dot where's youreaed dot at to

0:40:53.320 --> 0:40:55.680
<v Speaker 2>visit the discord, and go to our slash.

0:40:55.360 --> 0:40:57.200
<v Speaker 1>Better Offline to check out our reddit.

0:40:58.000 --> 0:40:59.360
<v Speaker 2>Thank you so much for listening.

0:41:00.200 --> 0:41:02.680
<v Speaker 1>Better Offline is a production of cool Zone Media.

0:41:02.800 --> 0:41:06.200
<v Speaker 2>For more from cool Zone Media, visit our website Coolzonmedia

0:41:06.239 --> 0:41:09.040
<v Speaker 2>dot com, or check us out on the iHeartRadio app,

0:41:09.120 --> 0:41:11.560
<v Speaker 2>Apple Podcasts, or wherever you get your podcasts.